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YING BEIWEN

YING, BEIWEN

生命環境系 , 准教授
Institute of Life and Environmental Sciences , Associate Professor

http://www.u.tsukuba.ac.jp/~ying.beiwen.gf/index.html

人工知能を用いた細胞培養のための培地最適化手法を開発

2023-05-30

YING BEIWEN
Machine-learning analysis of bacterial growth dynamics

2022-11-30

YING BEIWEN
#018 絶滅しないための栄養バランス！ビッグデータ解析から垣間見る微生物の生きる知恵

2022-09-22

YING BEIWEN
生物実験と機械学習による分析から細菌増殖におけるリスク分散の生存戦略を発見

2022-08-30

YING BEIWEN
地球で最初に誕生した生物は球状だった可能性を実証

2022-01-11

YING BEIWEN
細菌の増殖に決定的な影響を及ぼす化学物質をビッグデータ解析で予測

2019-09-03

YING BEIWEN 天笠 俊之
オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。
  1. 1. Machine Learning Reveals Quantitative Amino Acid Preferences in Bifidobacterium longum Growth KANEKO, H.; KADOWAKI, K.; YOSHIMOTO, S.; ODAMAKI, T. (+1 著者) BEIWEN
      Microbial biotechnology (2026)
  2. 2. Growth Patterns of Culturable Indoor Bacteria Vary with Nutrient Availability and Surface Material WENG, Jieruiyi; YING, BEIWEN
      Biology and Life Sciences Forum 62: (2026) Semantic Scholar
  3. 3. Cleaning reshapes bacterial communities in public toilets through disturbance and random reassembly WENG, Jieruiyi; HASHIZUME, Takamasa; YING; BEIWEN
      Scientific Reports 16: (2026) Semantic Scholar
  4. 4. Experimental demonstration of bacterial fitness increase by machine learning-driven habitat reconstruction LU, Zipeng; YING, BEIWEN
      mLife (2026)
  5. 5. Equivalent fitness increase achieved by active learning-navigated habitat reconstruction and evolution-induced genome mutation LU, Zipeng; YING, BEIWEN
      bioRxiv (2026)
  6. 6. Growth dynamics of 3,909 Escherichia coli single-gene knockouts in rich and minimal media. LAO, Zehui; YING, BEIWEN
      Scientific Data (2026) Semantic Scholar
  7. 7. Time series data mining for linking the shape of bacterial growth curves to biological functions. LAO, Zehui; YING, BEIWEN
      Computational and structural biotechnology journal (2026) Semantic Scholar
  8. 8. Sequential active learning for medium optimization in mAb production. HASHIZUME, Takamasa; BABA, Koki; MATSUO, Naoya; YING, BEIWEN
      Journal of Bioscience and Bioengineering 141: 210 (2026) Semantic Scholar
  9. 9. Data-driven analysis reveals distinct genomic and environmental contributions to bacterial growth curves GONG, Jiarun; YING, BEIWEN
      Scientific Reports 16: (2025) Semantic Scholar
  10. 10. Experimental mapping of bacterial fitness landscapes reveals eco-evolutionary fingerprints ZHANG, Shuyang; YING, BEIWEN
      Scientific Reports 15: (2025) Semantic Scholar
  11. 11. Biology-aware machine learning for culture medium optimization. HASHIZUME, Takamasa; YING; BEIWEN
      New BIOTECHNOLOGY 89: 141 (2025) Semantic Scholar
  12. 12. Population Dynamics of Escherichia coli Growing under Chemically Defined Media AIDA, honoka; YING, BEIWEN
      Scientific Data 12: (2025) Semantic Scholar
  13. 13. A data-driven approach for cell culture medium optimization. OZAWA, Yuki; HASHIZUME, Takamasa; YING; BEIWEN
      Biochemical Engineering Journal 214: (2025) Semantic Scholar
  14. 14. Data-driven discovery of the interplay between genetic and environmental factors in bacterial growth AIDA, honoka; YING, BEIWEN
      COMMUNICATIONS BIOLOGY 7: (2024) Semantic Scholar
  15. 15. Experimental evolution for the recovery of growth loss due to genome reduction HITOMI, Kenya; ISHII, Yoichiro; YING, BEIWEN
      ELIFE 13: (2024)
  16. 16. Challenges in developing cell culture media using machine learning HASHIZUME, Takamasa; YING; BEIWEN
      BIOTECHNOLOGY ADVANCES 70: (2024)
  17. 17. Employing Active Learning in Medium Optimization for Selective Bacterial Growth ZHANG, Shuyang; AIDA, Honoka; YING, BEIWEN
      Applied Microbiology 3: 1355 (2023) Semantic Scholar
  18. 18. Active learning for medium optimization for selective bacterial culture ZHANG, Shuyang; AIDA, Honoka; YING, BEIWEN
      bioRxiv (2023)
  19. 19. Diversity for commonality in the evolutionary changes of the reduced genome to regain the growth fitness HITOMI, Kenya; ISHII, Yoichiro; YING, BEIWEN
      Elife (2023)
  20. 20. Efforts to Minimise the Bacterial Genome as a Free-Living Growing System AIDA, honoka; YING, BEIWEN
      BIOLOGY-BASEL 12: (2023) Semantic Scholar
1 2 3 … 5
  1. 1. 機械学習でできる！細胞培養の最適化 YING, Beiwen
    2025年5月 (ISBN: 9784274233555)
  2. 2. Stress and Environmental Regulation of Gene Expression and Adaptation in Bacteria YING,BEIWEN; YOMO,Tetsuya (担当:分担執筆, 範囲:Comparative analyses of bacterial transcriptome reorganisation in response to temperature increase.)
    2016年5月 (ISBN: 9781119004882)
  3. 3. Advances in Applied Biotechnology YING,BEIWEN; YOMO,Tetsuya (担当:分担執筆, 範囲:Built-in synthetic gene circuits in Escherichia coli – methodology and applications.)
    2012年1月
  4. 4. Protein Engineering Handbook YING,BEIWEN; UEDA,Takuya (担当:分担執筆, 範囲:Protein generation using a reconstituted system.)
    2009年1月
  5. 5. Cell-Free Expression YING,BEIWEN; SHIMIZU,Yoshihiro; UEDA,Takuya (担当:分担執筆, 範囲:The PURE system: a minimal cell-free translation system.)
    2007年12月

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